Submission ID 78164
| Code | WE-5 |
|---|---|
| At the end of this workshop, participants will be able to: | |
| Learning Objective 1 | describe dominant beliefs regarding technology enhanced diagnosis |
| Learning Objective 2 | evaluate current evidence on the value of electronic diagnostic |
| Learning Objective 3 | evaluate current evidence on the value of crowdsourcing differentials |
| Category | Medical Education |
| Type | Workshop |
| Title | Technology Supported Consults (the Value of Seeking Help) |
| Rationale/Background | The goal of the workshop is to engage attendees in discussion about two popular proposals aimed at improving diagnosis. First, is the premise that if clinicians partner with technology, such as electronic diagnosis support systems, diagnosis will improve. Second is the premise that a modern day clinical consult, such as seeking input through social media from diverse and possibly anonymous clinicians, can improve diagnosis. An example of this is crowdsourcing for a differential. Understanding the cognitive and resource implications for these proposals is critical. The material presented will cover important facilitators and barriers to success to help decision makers invest appropriately to improve diagnosis in the future. |
| Instructional Methods | The workshop will be presented by 2 experts on diagnostic reasoning. We will define and share evidence of the effectiveness of popular strategies for improving diagnosis, namely partnering with technology and crowdsourcing for differentials. These strategies are not entirely novel, but have received more attention recently due to improvements in available technology. The first interactive part of the workshop will allow attendees to network and identify some common beliefs regarding the use of technology or crowdsourcing. The second interactive part of the workshop will introduce attendees to several scenarios to engage them in idea generation and critical evaluation of research evidence. Finally, we will conclude the workshop by summarizing key discussion points and proposing future directions for diagnostic medicine. |
| Target Audience | Educators, Researchers, Patients, Policy Makers/Advocates, Health Care Professionals |
| Keyword 1 | Diagnostic reasoning |
| Keyword 2 | Clinical consult |
| Keyword 3 | technology supported diagnosis |
| Abstract content most relevant to: (check all that apply) | Continuing Professional Development (CPD) (faculty development, CME)
Residency Education |
| Abstract Track - First Choice | AI Health Systems |
| Authors | Sandra Monteiro Matthew Sibbald |
